Bio

Francois Mercier does modeling and simulation (M&S) at Roche-Genentech to support decision-making in clinical drug development. His research focuses on dose-finding, and composite data models such as joint models, in oncology and neuroscience. Born frequentist, he gradually developed an interest for the Bayesian formalism and use it now as main M&S framework. He frequently collaborates with statistical engineers, and researchers who study Bayesian causal inference and machine learning. He has contributed to 50+ clinical development programs in his career, among which 3 delivered NDAs: Fingolimod, Siponimod, Ocrelizumab, and Entrectinib. He has published 50+ scientific articles in statistics and clinical journals, presented 100+ scientific posters, and delivered 40+ oral communications in major conferences.

Education

Massachusetts Institute of Technology | Cambridge, MA

Ph.D. in Computer Science | September 2009 - May 2014

The University of California, Berkeley | Berkeley, CA

B.S. in Computer Science | September 2005 - May 2009

Experience

Google Brain | Principal Investigator | January 2018 - Present

Netflix | Research Scientist | June 2014 - December 2017